AUTHOR=Thakur Tarun Kumar , Swamy S. L. , Dutta Joystu , Thakur Anita , Mishra Alka , Sarangi Prakash Kumar , Kumar Amit , Almutairi Bader O. , Kumar Rupesh
TITLE=Assessment of land use dynamics and vulnerability to land degradation in coal-mined landscapes of central India: implications for ecorestoration strategies
JOURNAL=Frontiers in Environmental Science
VOLUME=12
YEAR=2024
URL=https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2024.1419041
DOI=10.3389/fenvs.2024.1419041
ISSN=2296-665X
ABSTRACT=Introduction: Anthropogenic disturbances resulting from extensive mining activities in tropical regions pose significant threats to native land use, leading to deforestation, biodiversity loss, climate change impacts, environmental degradation, health risks, landscape fragmentation, compromised ecological security, and societal wellbeing. Monitoring Land Use and Land Cover Change (LULCC) becomes imperative for evaluating the extent and nature of land degradation in mined areas.
Methods: This study examined and compared land cover change patterns across three coalmined sites: Sohagpur (Site-I), Jamuna & Kotma (Site-II), Bishrampur (Site-III) in Central India over 3 decades using Landsat satellite imagery from 1994, 2007, and 2022. The Maximum Likelihood (ML) algorithm, within a supervised classification framework, was applied to discern mining impacts on decadal land use shifts.
Results and discussion: The analysis revealed that 7.32%–17.61% of forest cover, 5.0%–10% of water bodies, and 3%–5% of agricultural lands were lost due to mining activities, with Site three and Site two experiencing greater losses compared to Site 1. Overall, native land cover diminished by 35% between 1994 and 2022. Indices including Soil Index, Climate Index, Terrain Index, Land Utilization Index, and Vegetation Index were derived to assess land degradation patterns. These indices were integrated using a weighted index model in ArcGIS to generate the Land Degradation Vulnerability Index (LDVI). Vulnerability notably escalated with mining expansion, particularly pronounced at Site 3 (Bishrampur) and lower at Site 1 (Sohagpur). The “extremely vulnerable” class encompassed a substantial area (25%–40%), while the “low vulnerable” class was less than 5% across all sites. This study’s comprehensive analysis aids policymakers, planners, and managers in prioritizing targeted interventions and implementing sustainable land management 175 practices for ecorestoration, aligning with the goal of Zero Net Land Degradation 176 (ZNLD) in coal-mined landscapes.